The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to learn how ...

This study evaluates YOLOv12 using a globally sourced traffic dataset that includes varied weather conditions, lighting scenarios, and geographic locations. The model demonstrates strong performance ...

This project uses YOLOv5 (You Only Look Once) with OpenCV and PyTorch to perform real-time object detection on webcam/video feed. It can detect multiple objects like people, cars, animals, and more — ...

This project demonstrates real-time object detection using the SSD MobileNet V3 architecture, with pre-trained weights from the COCO dataset. The model is used to detect objects in a webcam feed using ...

Object recognition is the process of recognizing objects based on their characteristics like color, shape, and with the particular occurrence of the object in digital videos and as well as normal ...

In general, object detection systems detect a target object using classical computer vision and deep learning techniques, determine the category of the detected object, and create a bounding box ...